Maria Lombardi

1.7k citations
45 papers · 1.1k indexed · h-index 17

Maria Lombardi

42 papers receiving 1.1k citations

Peers

Maria Lombardi
Comparison fields: 5 of 88
  • Genetics 263
  • Hematology 245
  • Cardiology and Cardiovascular Medicine 246
  • Reproductive Medicine 77
  • Genetics 222
Replace H. Karel Nieuwenhuis with:
H. Karel Nieuwenhuis Netherlands
Yvonne H. Datta United States
James McRedmond Ireland
Ichiro Fuse Japan
Bhupinder Bharaj Canada
Panagiotis Flevaris United States
Mingchao Zhang China
S J Lauer United States
Toshiyuki Imasawa Japan
Shinji Itoyama Japan
Maria Lombardi relative to H. Karel Nieuwenhuis Netherlands H. Karel Nieuwenhuis's profile →
Citations per field
00.5×10×15×19.3×
H. Karel Nieuwenhuis · 1×
Citations per year

Countries citing papers authored by Maria Lombardi

Since Specialization
Citations

This map shows the geographic impact of Maria Lombardi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Maria Lombardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Lombardi more than expected).

Fields of papers citing papers by Maria Lombardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Lombardi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Maria Lombardi. The network helps show where Maria Lombardi may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Maria Lombardi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maria Lombardi Line = papers co-authored together Maria Lombardi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20231
3 20226
4 20229
5 202013
6 201919
7 20156
8 20146
9 201116
10 201131
11 201132
12
Coronary microvascular dysfunction in hypertensive patients with left ventricular hypertrophy can be reversed by treatment with a fixed combination of perindropril and indapamide
20082
13 200613
14 200648
15 200512
16 20047
17 20035
18 200047
19 199836
20 199722

About Maria Lombardi

Maria Lombardi is a scholar working on Reproductive Medicine, Aging and Genetics, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (6 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Genetic and rare skin diseases. (5 papers), Sperm and Testicular Function (5 papers), Cardiomyopathy and Myosin Studies (5 papers), Sexual Differentiation and Disorders (4 papers), Prenatal Screening and Diagnostics (4 papers) and Genetic Syndromes and Imprinting (3 papers). The work is most often cited by research in Genetics (263 citations), Hematology (245 citations) and Cardiology and Cardiovascular Medicine (246 citations). Maria Lombardi has collaborated with scholars based in Netherlands, Italy and United States. Frequent co-authors include Fulco van der Veen, Louis M. Havekes, Vincenzo Positano, Marcel M. A. M. Mannens, G.H. Westerveld, Sjoerd Repping, John J.P. Kastelein, Antonella Meloni, Anna Spasiano and Alessia Pepe. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Scientific Reports.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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